Rick Barto

602 citations
7 papers · 486 · h-index 6

Impact in

    • Synthesis and properties of polymers
    • Machine Learning in Materials Science
    • Carbon Nanotubes in Composites
    • Electronic and Structural Properties of Oxides

Papers in

Rick Barto

7 papers receiving 473 citations

Peers

Rick Barto
Comparison fields: 5 of 70
  • Polymers and Plastics 107
  • Materials Chemistry 289
  • Structural Biology 5
  • Computational Theory and Mathematics 47
  • Information Systems and Management 20
Replace Daylond Hooper with:
Daylond Hooper United States
Akshay Iyer United States
Mohammad Atif Faiz Afzal United States
Armi Tiihonen Finland
Janak Thapa United States
Kameel Abdel‐Latif United States
G. Lambard Japan
Umar Farooq Ghumman United States
Bing Cao Canada
Jeroen van Duren United States
Rick Barto relative to Daylond Hooper United States Daylond Hooper's profile →
Citations per field
00.5×3.5×
Daylond Hooper · 1×
Citations per year

Countries citing papers authored by Rick Barto

Since Specialization
Citations

This map shows the geographic impact of Rick Barto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rick Barto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Barto more than expected).

Fields of papers citing papers by Rick Barto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rick Barto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rick Barto. The network helps show where Rick Barto may publish in the future.

Co-authors

The 19 scholars most cited alongside Rick Barto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rick Barto Line = papers co-authored together Rick Barto links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2016284
2 200372
3 201247
4 200437
5 200430
6 201212
7 20174

About Rick Barto

Rick Barto is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Biomedical Engineering and Mechanics of Materials, having authored 7 papers that have together received 486 indexed citations. Recurring topics across this work include Synthesis and properties of polymers (3 papers), Photonic and Optical Devices (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Machine Learning in Materials Science (2 papers), Aerospace Engineering and Energy Systems (1 paper), Nanowire Synthesis and Applications (1 paper), Zeolite Catalysis and Synthesis (1 paper) and Advanced Aircraft Design and Technologies (1 paper). The work is most often cited by research in Polymers and Plastics (107 citations), Materials Chemistry (289 citations), Structural Biology (5 citations), Computational Theory and Mathematics (47 citations) and Information Systems and Management (20 citations). Rick Barto has collaborated with scholars based in United States and Canada. Frequent co-authors include Pavel Nikolaev, Daylond Hooper, Kevin Decker, Rahul Rao, Frederick Webber, Benji Maruyama, Michael Krein, Alex K.‐Y. Jen, Curtis W. Frank and Hong Ma. Their work appears in journals such as Macromolecules, Macromolecular Rapid Communications, Composites Science and Technology, Microscopy and Microanalysis and npj Computational Materials.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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